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Sustainable Power and Energy Conference (iSPEC)

作者： Qitao Liu Yuqiang Hou Jianbing Xu Yongkang Liu NARI Technology Co. Ltd Nanjing China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665414401

The power system becomes more complex, due to the high penetration of renewable energy and more electronic devices are integrated to the traditional grid. SSCS is the critical task for power grid operation to ensure the control reliability and effectivity. It is inevitable to improve verification experiment technology for SSCS considering the development trend of the power system. RTDS is a powerful simulator for power system which is able to reflects the practical power system operation in real time. In this paper, a method for status tracking of power system model in RTDS is developed that SSCS is able to be verified under multiple operation conditions. It is found that the status cannot be tracked consistently as given, due to the limitations of RTDS models and raw data. The limitation in tracking reactive power output of generators is overcame in this paper. Besides, the development trend of online stability analysis and control is discussed as well as SSCS verification experiment technology.

关键词： Renewable energy sources Reactive power Power system stability Market research Stability analysis Real-time systems Power grids

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Few-Reference Image Quality Assessment with Multiple Information Measurement Fusion 9th

Few-Reference Image Quality Assessment with Multiple Inform...

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9th International Forum on Digital Multimedia Communication, IFTC 2022

作者： Shi, Shuang Wang, Simeng Liu, Yuchen Zhou, Chengxu Gu, Ke Faculty of Information Technology Beijing University of Technology Beijing China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing China Beijing Laboratory of Smart Environmental Protection Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China Beijing Artificial Intelligence Institute Beijing China School of Electronic and Information Engineering Liaoning University of Technology Liaoning Jinzhou China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9789819908554

In the era of media information explosion, there is an urgent need for a fast and reliable image quality assessment (IQA) model to improve the actual application effect of images. To this end, we propose the multiple information measurement fusion metric (MMFM), which innovatively combines two types of information measures (IMs), i.e., local IM and global IM, using only a small number of references for IQA. First, inspired by the free energy theory, we combine 2-dimensional autoregressive model with sparse random sampling method as an inference engine on an input image to generate its associated predicted image. Second, by the inspiration of pixel-wise measurement, we obtain the local IM by calculating the information entropy of the residual error between the input image and its corresponding predicted one. Third, motivated by the histogram-based measurement, we acquire the global IM by computing the two kinds of divergences between the input image and its predicted one. Fourth, we systematically fuse three components, independently including one distance of local IM between the reference and corrupted images and two distances of global IMs between the reference and corrupted images, based on a linear function to derive the final IQA result. The results of experiment on the most popular LIVE database show that our designed algorithm with only one number used as few reference has achieved well performance as compared with several mainstream IQA models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image enhancement

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River Turbidity Monitoring Based on Semi-supervised Transfer Learning 9th

River Turbidity Monitoring Based on Semi-supervised Transfe...

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9th International Forum on Digital Multimedia Communication, IFTC 2022

作者： Xie, Shuangyi Liao, Xin Bai, Ruxue Zhou, Chengxu Gu, Ke Faculty of Information Technology Beijing University of Technology Beijing China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing China Beijing Laboratory of Smart Environmental Protection Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China Beijing Artificial Intelligence Institute Beijing China School of Electronic and Information Engineering Liaoning University of Technology Liaoning China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9789819908554

River turbidity is an important index to evaluate the quality of water environment, which is of great significance to environmental monitoring. Most of the existing monitoring methods rely on turbidity labels measured by river water quality monitoring stations. However, due to the limitation of spatial distribution of water quality monitoring stations, those turbidity data outside the monitoring range are difficult to obtain and the correlation of turbidity data between monitoring stations is poor. Using such data directly might weaken the generalization ability that the model has. In this paper, we propose a new river turbidity monitoring model based on semi-supervised transfer learning (RTMM-SSTL) to solve these problems. First, in the pre-training stage, we innovatively propose a semi-supervised training method combined with big data with pseudo labels for river turbidity monitoring to solve the problem of weakened model generalization ability. Then, the model is fine-tuned using GEE hyper spectral data with ground truth to further improve the monitoring capability of the model. Experiments conducted on the river turbidity monitoring task demonstrate that the proposed model is superior to the advanced learning models, and further proves that our semi-supervised transfer learning method performs better than the state-of-the-art supervision models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Rivers

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Energy Storage Planning and Economic Dispatch of Microgrid Considering Power to Gas 12

Energy Storage Planning and Economic Dispatch of Microgrid C...

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12th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2020

作者： Gu, Jiaqi Mei, Fei Lu, Jixiang Lu, Jinjun Yang, Bo Hohai University College of Energy and Electrical Enginering Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China China Electric Power Research Institute Nanjing China

ISBN: (纸本)9781728157481

New energy has been vigorously promoted for its advantages such as cleanliness, large reserves and renewability. Recently, power-to-gas (P2G) technology has provided a new idea for energy conversion, which helps to improve energy efficiency. In view of the current high penetration rate of photovoltaics, the impact of three measures with regard to energy conversion, energy storage configuration and demandside response on the economics of the microgrid and the optimal scheduling of the microgrid are explored. Firstly, a microgrid scheduling model with P2G device is built;Secondly, a bi-level planning model for the economic cost of the microgrid scheduling is presented. The upper layer will be based on absolutely accommodation of photovoltaics as the prerequisite to conFigure the optimal energy storage capacity;Then lower layer performs optimized scheduling under the upper model to ensure the economy of the microgrid. Finally, a comparison example is used to analyze the optimal energy storage capacity in different scenarios and an optimized scheduling scheme is given. © 2020 IEEE.

关键词： Scheduling

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Hierarchical annotation method for metal corrosion detection of power equipment

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Journal of Southeast University(English Edition) 2021年第4期37卷 350-355页

作者： Zhang Baili Cao YongZhang Pei Zhang Zhao He Yina Zhong Mingjun School of Computer Science and Engineering Southeast UniversityNanjing 211189China State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research InstituteNanjing 211106China NARI Group Corporation Nanjing 211106China Department of Computing Science University of AberdeenAberdeen AB243UEUK

To solve the ambiguity and uncertainty in the labeling process of power equipment corrosion datasets,a novel hierarchical annotation method(HAM)is ***,large boxes are used to label a large area covering the range of corrosion,provided that the area is visually continuous and adjacent to corrosion that cannot be clearly ***,in each labeling box established in the first step,regions with distinct corrosion and relative independence are labeled to form a second layer of nested ***,a series of comparative experiments are conducted with other common annotation methods to validate the effectiveness of *** experimental results show that,with the help of HAM,the recall of YOLOv5 increases from 50.79%to 59.41%;the recall of Faster R-CNN+VGG16 increases from 66.50%to 78.94%;the recall of Faster R-CNN+Res101 increases from 78.32%to 84.61%.Therefore,HAM can effectively improve the detection ability of mainstream models in detecting metal corrosion.

关键词： deep learning Faster R-CNN YOLOv5 object detection hierarchical annotation

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Scheduling Model for Inter-regional HVDC Tie-line Generation and Transmission system Considering Conditional Sections

Scheduling Model for Inter-regional HVDC Tie-line Generation...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Fan Xu Rongzhang Cao Mengfu Tu Yantao Zhang Leyong Yang Dandan Zhang State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

The HVDC transmission schedule for clean energy seldom considers the demand of receiving grid. With the expansion of clean energy scale, it brings great pressure to the receiving grid for safe and stable operation. For this reason, a generation and transmission scheduling model of inter-regional HVDC tie-line system considering conditional section is proposed. A step power adjustment model for the HVDC tie-line operation optimization is developed with consideration given to various constraints on tie-line power, which not only give full play to the characteristics of HVDC tie-line that can be flexibly adjusted, but also avoid the frequent conversion of HVDC converter equipment, making the HVDC tie-line schedule more executable. The joint operation model of cascaded hydropower plants in sending grid is established to meet the operational constraints such as the restricted operating zones of hydropower units, and to ensure the priority of clean hydropower resources and the practicability of the hydropower schedule. The model of conditional control section is established, which can effectively deal with the problem of the coupling between the power limits of section and the number of running units, so as to ensure the safe and stable operation of related sections. Based on the actual data of a cross-regional interconnected power grid, the validity of the model is verified, which can promote the accommodation of clean energy across a wide range of regions, reduce the supply cost of large power system, and alleviate the pressure of safe and stable operation at the receiving system.

关键词： Hydroelectric power generation HVDC transmission Schedules smart grids Dispatching Vibrations

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A Method to Prevent and control the Interruption Exception of Sampling in Merging Unit

A Method to Prevent and Control the Interruption Exception o...

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Sustainable Power and Energy Conference (iSPEC)

作者： Rui Cao Zhaohui He Tonghua Wu Bin Zhou Zhonglang Wang Xindong Li State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

As the sampling interruption is the heartbeat of merging unit, its stability is directly related to the accuracy and discreteness of the output SV packets of merging unit. To prevent the output error from merging unit when its sampling interruption is abnormal, this paper proposes crystal frequency monitoring technology, sampling interruption monitoring technology and SV packets timing monitoring technology, forming the prevention and control system of sampling interruption exception of merging unit. The merging unit developed by above technology has the function of early warning and processing for the occasional sampling interruption exception, which improves the reliability of intelligent substation operation.

关键词： Substations Heart beat Merging Crystals Reliability engineering Synchronization Monitoring

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Non-intrusive monitoring and disaggregation of industrial load based on Petri net theory

Non-intrusive monitoring and disaggregation of industrial lo...

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第三届材料科学应用与能源材料国际研讨会

作者： Wei Zheng Jie Yu Hongjie Tian Peng Li Chenning Wu Mengfu Tu School of electrical engineering Southeast University State Key Laboratory of Smart Grid Protection and Control

In this paper, the non-intrusive monitoring and disaggregation method of industrial load based on Petri net theory is studied. First, the basic concepts of Petri nets are introduced. On the basis of prototype Petri nets, time factor is added. Then, the Petri net with time factor is combined with industrial load production process. Considering the production sequence, start-stop time and production time constraints of industrial load, a non-intrusive monitoring and disaggregation model of industrial load is constructed. Finally, according to the actual production process of industrial load, the electricity consumption situation of each production link is calculated, and the detailed analysis results of industrial user's electricity consumption behavior are obtained. The research could provide an important reference for realization of friendly interaction between industrial users and power grid.

关键词： Non-intrusive monitoring and disaggregation of industrial load based on Petri net theory Petri net

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Framework and technologies of App store in new generation power grid dispatching and control system

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Procedia Computer Science 2021年 183卷 754-760页

作者： Qing Zou Guanyu Wu Kun Huang Jing Yu Yuan Gao NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211106 China Nari Technology Co. Ltd Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing 211106 China State Grid Jiangsu Elect Power Co. Nanjing 210000 China

In the existing power grid dispatching and control system, the management mechanism of the software version is incomplete; the software quality is difficult to guarantee; the level of automation of the software release is low; the feedback mechanism of the software usage is lacking. So it is difficult to meet the openness requirements of New Generation Power grid Dispatching and control system (NGPGDCS). In this paper, we propose a framework of app store for NGPGDCS, and give some specific introductions to key technologies such as app review and release process, app precise recommendation and download, app intelligent upgrade, and app evaluation feedback. This solution has been piloted in some power grid dispatching and control centers at provincial level and above. Practice has proved that this solution helps to improve the quality of apps, enhance the degree of software automation release, and promote the continuous improvement of the quality of apps.

关键词： app store power grid dispatching control system review release precise recommendation intelligent upgrade evaluation feedback

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Thermochemical Energy Storage by Calcium Looping Process that Integrates Co2 Power Cycle and H2o Steam Power Cycle

SSRN

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SSRN 2022年

作者： Luo, Cong Xu, Yongqing Lu, Chuangao Wang, Guang Yan, Xiaopei Gao, Ge Lu, Bowen Wu, Fan Zhang, Liqi State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan430074 China State Environment Protection Key Laboratory of Environmental Monitoring Quality Control China National Environmental Monitoring Centre Beijing100012 China State Grid Hebei Electric Power Research Institute Shijiazhuang050021 China

Effects of different CaO-based raw materials, and various organic acid modification on the conversion of CaO heat carriers in close-loop calcium looping process coupled thermochemical energy storage(CaLP-TCES) system are investigated. Besides, a novel CaLP-TCES system that integrates CO2 cycle and H2O steam cycle to make full use of the energy in the system was proposed. Natural CaO-based heat carriers underwent drastically deactivation over the CaLP-TCES cycles. Compared with other natural materials, limestone presented the best cyclic carbonation conversion, which retained 14.2% of conversion rate, while glycine modification doubled the conversion rate of it. The efficiency of the CaLP-TCES system presented "S" type growth with the increase of carbonation conversion and carbonation temperature, while it showed a parabolic growth with the increase of pressure ratio. In addition, the global system efficiencies in the fullday time mode are always ~72% higher than that in daytime mode. Hence, the glycine-limestone would be a promising heat carrier for the CaLP-TCES system, and CaLP-TCES in fullday time mode is more applicable for the concentrated solar power. 850 ℃ might be a good option for carbonation process, and the higher carbonation conversion rate and pressure ratio would be more benefit for the global system efficiency. © 2022, The Authors. All rights reserved.

关键词： Carbonation

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